Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data

Fault detection and diagnosis (FDD) has received considerable attention with the advent of big data. Many data-driven FDD procedures have been proposed, but most of them may not be accurate when data missing occurs. Therefore, this paper proposes an improved random forest (RF) based on decision path...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yuequn, Luo, Lei, Ji, Xu, Dai, Yiyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538123/
https://www.ncbi.nlm.nih.gov/pubmed/34695927
http://dx.doi.org/10.3390/s21206715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538123/
https://www.ncbi.nlm.nih.gov/pubmed/34695927
http://dx.doi.org/10.3390/s21206715

Ejemplares similares